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‎python contents.txt‎

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Python
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The below table largely covers the TOC for 5 popular books. Learning Python (Fourth Edition) has a more in-depth look at concepts than any of the other books. However this book also does not essentially cover some aspects that are covered in other books.
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No. Diving into Python The Python Standard Library by Example Python Essential Reference (4th edition) The Quick Python Book Learning Python
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Introductory Concepts covering installation on different OS, version history, interpreter. This section also covers questions like Why, Who, What and Where on Python.
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1 1. Installing Python
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2. Which Python is right for you ?
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3. Python & your OS
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4. Interactive Shell
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5. Summary 1. Introduction (Text) 1. Tutorial Introduction
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2. Lexical Conventions and Syntax 1. About Python
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2. Getting Started 1. Python Q & A Session
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1. Why do people use Python ?
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2. Downside of using it
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3. Who uses Python Today ?
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4. What Can I do with Python ?
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5. Python vs Language X
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6. Test your Knowledge
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2. How Python runs programs
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1. Python Interpreter
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2. Program Execution
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1. Programmer View
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2. Python View
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3. Execution Model Variations
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1. Implementation Alternatives
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2. Execution Optimization Tools
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3. Frozen Binaries
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3. How you run programs
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1. Interactive prompt
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2. Your first script
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<snipped>
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Python Object Types, Numeric Types, Data Structures, Control Structures, Scopes and Arguments
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2 1. Your first program
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2. Declaring Functions
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3. Python Data types vs Other Languages
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4. Documenting Functions
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5. Everything is an Object
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6. The Import Search Path
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7. What is an Object ?
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8. Indenting Code
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9. Testing Modules
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10. Native Datatypes
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1. Dictionaries
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2. List
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3. Tuples
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11. Variables & referencing 1. Data Structures 1. Types and Objects
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2. Operators and Expressions
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3. Program Structure and Control Flow
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4. Functions and Functional Programming
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5. Classes and Object Oriented Programming
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6. Modules, Packages and Distribution
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7. Input and Output
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8. Execution Environment
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9. Testing, Debugging, Profiling and Tuning
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<Covered further along in the book>
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Data Structures, Algorithms & Code simplification
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String & Text Handling 1. Python Overview
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1. Built-in Data types
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2. Control Structures
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3. Module
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4. OOPs
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2. Basics
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1. Lists
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2. Dictionaries
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3. Tuple
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4. Sets
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5. Strings
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6. Control Flow
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3. Functions
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4. Modules and Scoping Rules
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5. Python Programs 1. Introducing Python Object Types
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1. Why use built-in Types ?
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2. Core data types
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3. Numbers, Lists, Dictionaries, Tuples, Files, Other Core Types
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4. User Defined Classes
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2. Numeric Types
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1. Literals, Built-in tools, expression operators
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2. Formats, Comparisons, Division, Precision
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3. Complex Numbers
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4. Hexadecimal, Octal & Binary
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5. Bitwise Operations
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6. Decimal, Fraction, Sets, Booleans
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<Covered further along in the book>
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1. Statements & Syntax
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2. Assignments, Expressions & Syntax
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3. If Tests & Syntax Rules
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4. Scopes
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5. Arguments
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Built-in functions, Function Design, Recursive Functions, Introspection, Annotations, Lambda, Filter and Reduce
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3 1. Power of Introspection
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1. Optional and Named Arguments
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2. type, str, dir and other built-in functions
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3. Object References with getattr
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4. Filtering Lists
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5. Lambda Functions
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6. Real world Lambda functions
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None 1. Built-in functions
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2. Python run-time services None Built-in functions are covered as part of the topic above but from a numeric perspective
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1. Advanced Function Topics
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1. Function Design
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2. Recursive Functions
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3. Attributes and Annotation
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4. Lambda
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5. Mapping Functions over sequences
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6. Filter and Reduce
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<Covered further along in the book>
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Special Class Attributes
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Display Tool
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OOPS, Modules
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4 1. Objects and Object Orientation
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1. Importing Modules
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2. Defining Classes
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3. Initializing and Coding Classes
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4. Self & __init__
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5. Instantiating Classes
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6. Garbage Collection
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7. Wrapper Classes
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8. Special Class Methods
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9. Advanced Class Methods
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10. Class Attributes
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11. Private Functions None Covered partially section 2 1. Packages
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2. Data Types and Objects
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3. Advanced Object Oriented Features 1. Modules
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1. Why use Modules ?
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2. Program Architecture
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3. Module Search Path
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4. Module Creation & Usage
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5. Namespaces
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6. Reloading Modules
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7. Packages
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2. Advanced Module Topics
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1. Data Hiding in Modules
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2. as Extension for import and from
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3. Modules are Objects: Metaprograms
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4. Transitive Module Reloads
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5. Module Design Concepts
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6. Module Gotchas
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3. OOP
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1. Why use classes ?
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2. Classes & Instances
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3. Attribute Inheritance Search
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4. Class Method Calls
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5. Class Trees
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6. Class Objects & Default Behavior
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7. Instance Objects are Concrete Items
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8. Intercepting Python Operators
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9. Classes Vs. Dictionaries
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10. Class customization by Inheritance
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11. Operator Overloading
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12. Subclasses
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13. Polymorphism in Action
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14. Designing with Classes
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15. Mix-in Classes
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Advanced Class Topics
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5 None None None None 1. Advanced Class Topics
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1. Extending Types by Embedding
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2. Extending Types by Subclassing
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3. Static and Class Methods
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4. Decorators and Metaclasses
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5. Class Gotchas
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Exceptions
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6 1. Exceptions and File Handling
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1. Handling Exceptions
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2. Using exceptions for other purposes 1. Exceptions 1. Exceptions Basics
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1. Why use Exceptions ?
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2. Default Exception Handler
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3. User-Defined Exceptions
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4. Class Based Exceptions
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5. Designing with Exceptions
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XML, HTTP, SOAP, Network Programming, I18N, Unicode
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7 1. Regular Expressions
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2. Parsing / Processing Mark-up languages (HTML, XML)
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1. Unicode
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3. HTTP Web Services
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1. Headers
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2. Debugging
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4. SOAP Web Services 1. Networking
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2. Internet
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3. Email
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4. Internationalization and Localization 1. Network Programming and Sockets
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2. Internet Application Programming
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3. Web Programming
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4. Internet Data Handling & Encoding 1. Network, web programming 1. Unicode and Bytes Strings
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Miscellaneous
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8 None 1. Algorithms
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2. Cryptography
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3. Data compression and archiving
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4. Processes and Threads
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5. Data persistence & exchange 1. Extending & Embedding Python 1. GUI None

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